Description: Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques, Paperback by Mukhopadhyay, Sayan, ISBN 1484280040, ISBN-13 9781484280041, Like New Used, Free shipping in the US Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization techniques, natural language processing, and computer vision in the cloud environment. Generic design patterns in Python programming is clearly explained, emphasizing architectural practices such as hot potato anti-patterns. You'll review recent advances in databases such as Neo4j, Elasticsearch, and MongoDB. You'll then study feature engineering in images and texts with implementing business logic and see how to build machine learning and deep learning models using transfer learning. Advanced Analytics with Python, 2nd edition features a chapter on clustering with a neural network, regularization techniques, and algorithmic design patterns in data analytics with reinforcement learning. Finally, the recommender system in PySpark explains how to optimize models for a specific application. What You'll Learn Build intelligent systems for enterpriseReview time series analysis, classifications, regression, and clusteringExplore supervised learning, unsupervised learning, reinforcement learning, and transfer learning Use cloud platforms like GCP and AWS in data analyticsUnderstand Covers design patterns in Python Who This Book Is For Data scientists and software developers interested in the field of data analytics.
Price: 39.11 USD
Location: Jessup, Maryland
End Time: 2024-12-01T22:25:04.000Z
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Book Title: Advanced Data Analytics Using Python : With Architectural Pattern
Number of Pages: Xvii, 249 Pages
Publication Name: Advanced Data Analytics Using Python : With Architectural Patterns, Text and Image Classification, and Optimization Techniques
Language: English
Publisher: Apress L. P.
Subject: Information Theory, Intelligence (Ai) & Semantics, Probability & Statistics / General, Databases / General, Programming Languages / Python
Publication Year: 2022
Item Weight: 14.6 Oz
Type: Textbook
Author: Pratip Samanta, Sayan Mukhopadhyay
Item Length: 9.3 in
Subject Area: Mathematics, Computers
Item Width: 6.1 in
Format: Trade Paperback
